{"id":"W4399785372","doi":"10.1093/neuonc/noae064.516","title":"MDB-67. MEDULLOBLASTOMA MOLECULAR SUBGROUPING AND OUTCOMES DATA OF A SINGLE CENTER FROM A LOW-MIDDLE-INCOME COUNTRY","year":2024,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Center (category theory); Medulloblastoma; Middle income country; Low and middle income countries; Single Center; Low income; Geography; Political science; Demographic economics; Economic growth; Medicine; Economics; Developing country; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005102569,0.0002607099,0.0004752619,0.001654905,0.0008198934,0.0006672461,0.0003678228,0.0002467762,0.001998249],"category_scores_gemma":[0.001647592,0.0002075678,0.0003986328,0.001892686,0.000371777,0.0003678449,0.0009023912,0.0002882572,0.0004322258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008505681,"about_ca_system_score_gemma":0.0009232312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01623765,"about_ca_topic_score_gemma":0.01841068,"domain_scores_codex":[0.9992208,0.0001252565,0.0001356713,0.0001711283,0.0001786206,0.0001684248],"domain_scores_gemma":[0.9973333,0.0002695559,0.001228037,0.0001573333,0.0004419964,0.0005697547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004169223,0.00001068569,0.998696,0.00001203525,0.00002354218,0.0001390709,0.00008267911,0.0000186654,0.0001295914,0.000009018262,0.0001376877,0.0006993583],"study_design_scores_gemma":[0.00001117848,0.00009582407,0.9971638,0.00002275472,0.00004704023,0.001305824,0.0005941117,0.0000898705,0.0002186301,0.00001354173,0.0004312846,0.000006045274],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981222,0.0001890099,0.00006623547,0.00004269853,0.000004029008,0.00001650218,0.0009828433,0.000006526037,0.0005699578],"genre_scores_gemma":[0.9985024,0.0001047086,0.0001030493,0.00003206059,0.000007069305,0.00001613935,0.001152725,0.000004769915,0.00007709958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01623765,"threshold_uncertainty_score":0.03228629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03107416352817723,"score_gpt":0.3053834173532053,"score_spread":0.2743092538250281,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}